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test_img2img.py
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61 lines (44 loc) · 1.44 KB
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from PIL import PngImagePlugin
from conftest import OUTPUT_DIR
from stable_diffusion_cpp import StableDiffusion
MODEL_PATH = "F:\\stable-diffusion\\turbovisionxlSuperFastXLBasedOnNew_tvxlV431Bakedvae.safetensors"
INPUT_IMAGE_PATH = "assets\\input.png"
PROMPT = "blue eyes"
STRENGTH = 0.4
def test_img2img():
stable_diffusion = StableDiffusion(model_path=MODEL_PATH)
def progress_callback(step: int, steps: int, time: float):
print("Completed step: {} of {}".format(step, steps))
# Generate image
image = stable_diffusion.generate_image(
prompt=PROMPT,
init_image=INPUT_IMAGE_PATH,
strength=STRENGTH,
progress_callback=progress_callback,
)[0]
# Save image
pnginfo = PngImagePlugin.PngInfo()
pnginfo.add_text("Parameters", ", ".join([f"{k.replace('_', ' ').title()}: {v}" for k, v in image.info.items()]))
image.save(f"{OUTPUT_DIR}/img2img.png", pnginfo=pnginfo)
# ===========================================
# C++ CLI
# ===========================================
# import subprocess
# from conftest import SD_CPP_CLI
# stable_diffusion = None # Clear model
# cli_cmd = [
# SD_CPP_CLI,
# "--model",
# MODEL_PATH,
# "--prompt",
# PROMPT,
# "--init-img",
# INPUT_IMAGE_PATH,
# "--strength",
# str(STRENGTH),
# "--output",
# f"{OUTPUT_DIR}/img2img_cli.png",
# "-v",
# ]
# print(" ".join(cli_cmd))
# subprocess.run(cli_cmd, check=True)